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1
Introduction
2
System Modeler
3
Data in System Models
4
Create Data System Model
5
Extract Data
6
Parameter Calibration
7
Parametrical Regulation
8
Industrial Use Case
9
Future Applications
Description:
Explore how data opens new possibilities for physical modeling through neural network integration in system modeling. Discover applications and examples, covering topics from introduction to System Modeler, data incorporation in system models, data system model creation, data extraction, parameter calibration, parametrical regulation, industrial use cases, and future applications in this 25-minute Wolfram presentation.

Neural Networks in System Models: Applications and Examples

Wolfram
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